A freight forwarder with a fleet of bulk carriers wants to optimize their portfolio in metals markets with entry into the nickel business and use of the tramp trade. Tramp ships are the company’s “swing” option without any fixed charter or other constraint. They allow the company flexibility in managing several aspects of freight uncertainty. The call for tramp transportation is a derived demand based on the value of the cargoes. This value varies widely in the spot markets. The company allocates $250 million to manage receivables. The company wants us to:
Here is some additional detail.
What is the decision the freight-forwarder must make? List key business questions and data needed to help answer these questions and support the freight-forwarder’s decision. Retrieve data and build financial market detail into the data story behind the questions.
Develop the stylized facts of the markets the freight-forwarder faces. Include level, returns, size times series plots. Calculate and display in a table the summary statistics, including quantiles, of each of these series. Use autocorrelation, partial autocorrelation, and cross correlation functions to understand some of the persistence of returns including leverage and volatility clustering effects. Use quantile regressions to develop the distribution of sensitivity of each market to spill-over effects from other markets. Interpret these stylized “facts” in terms of the business decision the freight-forwarder makes.
How much capital would the freight-forwarder need? Determine various measures of risk in the tail of each metal’s distribution. Then figure out a loss function to develop the portfolio of risk, and the determination of risk capital the freight-forwarder might need. Confidence intervals to inform a risk management plan with varying tail experience thresholds.
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Comments
The CEO needs to call her friends for more money it seems